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Enhanced identification of women at risk for preterm birth via quantitative ultrasound: a prospective cohort study.
McFarlin, Barbara L; Villegas-Downs, Michelle; Mohammadi, Mehrdad; Han, Aiguo; Simpson, Douglas G; O'Brien, William D.
Afiliación
  • McFarlin BL; Department of Human Development Nursing Science, UIC College of Nursing, University of Illinois Chicago, Chicago, IL (Dr McFarlin and Ms Villegas-Downs). Electronic address: Bmcfar1@uic.edu.
  • Villegas-Downs M; Department of Human Development Nursing Science, UIC College of Nursing, University of Illinois Chicago, Chicago, IL (Dr McFarlin and Ms Villegas-Downs).
  • Mohammadi M; Department of Statistics, University of Illinois Urbana-Champaign, Champaign, IL (Mr Mohammadi and Dr Simpson).
  • Han A; Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA (Dr Han).
  • Simpson DG; Department of Statistics, University of Illinois Urbana-Champaign, Champaign, IL (Mr Mohammadi and Dr Simpson).
  • O'Brien WD; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL (Dr O'Brien).
Am J Obstet Gynecol MFM ; 6(5S): 101250, 2024 May.
Article en En | MEDLINE | ID: mdl-38070676
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Obstet Gynecol MFM Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Obstet Gynecol MFM Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos